[R] about fitting a regression line

[lily li]

Thanks for your replies. I tried the regression, but then got a NA value
for the slope. And here is the error message:
Coefficients: (1 not defined because of singularities)


On Thu, Jun 15, 2017 at 12:20 AM, PIKAL Petr <petr.pikal at precheza.cz> wrote:

> Hi
>
> But X can be some function like - sin, cos, log, exp...
>
> Cheers
> Petr
>
> > -----Original Message-----
> > From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of lily li
> > Sent: Thursday, June 15, 2017 1:28 AM
> > To: MacQueen, Don <macqueen1 at llnl.gov>
> > Cc: R mailing list <r-help at r-project.org>
> > Subject: Re: [R] about fitting a regression line
> >
> > Thanks. I thought lm() function is for linear model, such as the
> correlation
> > below:
> > Y= aX + b
> >
> > On Wed, Jun 14, 2017 at 5:25 PM, MacQueen, Don <macqueen1 at llnl.gov>
> > wrote:
> >
> > > Start with the lm() function; i.e., see
> > >
> > >   ?lm
> > >
> > > -Don
> > >
> > > --
> > > Don MacQueen
> > >
> > > Lawrence Livermore National Laboratory
> > > 7000 East Ave., L-627
> > > Livermore, CA 94550
> > > 925-423-1062
> > >
> > >
> > > On 6/14/17, 3:40 PM, "R-help on behalf of lily li" <
> > > r-help-bounces at r-project.org on behalf of chocold12 at gmail.com> wrote:
> > >
> > >     Hi R users,
> > >
> > >     I have some data points (Xi, Yi), and they may follow such a
> > > pattern Yi =
> > >     cCOS(Xi) + d, how to find the c and d in R? which function to use?
> > > Also,
> > >     how to get the R2 and p value for this correlation? Thanks for any
> > > kind of
> > >     help.
> > >
> > >         [[alternative HTML version deleted]]
> > >
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> > >
> > >
> >
> >       [[alternative HTML version deleted]]
> >
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